Convex File Storage
CheckedSecurely stores and retrieves files using a decentralized, convex-optimized storage network managed by waynesutton.
Install on your platform
convex-file-storage. SKILL.md frontmatter is not valid YAML, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-13. We don't show a command we know will fail.
What we know about this skill
Publisher
waynesutton
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned waynesutton/convexskills at 8ef49c9667.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8ef49c9667
- Scanned
- 2 files, 452 lines
About this skill
What it does
The convex-file-storage skill provides AI agents with the ability to store and retrieve files directly within a Convex environment. It allows agents to upload files, manage them (e.g., rename or delete), and access their contents programmatically. This enables persistent storage for agent data like documents, images, or other media assets.
When to use it
- Document Processing: An agent needs to store extracted text from scanned documents for later analysis or summarization.
- Image Generation & Storage: An agent generates images and requires a place to persistently save them.
- Chatbot File Attachments: A chatbot allows users to upload files, which the agent then stores and references.
- Agent Workspace: An agent needs a dedicated space to store temporary or permanent files related to its tasks.
Key capabilities
- File Uploading
- File Retrieval
- File Management (rename/delete)
- Integration with Convex environment
Example prompts
- "Upload this image as 'report_image.png'."
- "Save the contents of this document to a file named 'meeting_notes.txt'."
- "Delete the file called 'old_draft.docx'."
- “Retrieve the file ‘budget_spreadsheet.xlsx’ and give me its contents.”
Tips & gotchas
- Requires a Convex environment setup for proper functionality.
- File size limitations may apply based on your Convex configuration.